Karthick Thiyagarajan
Few Words About Me
I am currently a Ph.D. student (Under Examination) in the Centre for Autonomous Systems at University of Technology Sydney, Australia. I am working with Professor Sarath Kodagoda and Distinguished Professor Gamini Dissanayake on a research topic, “Robust Sensor Technologies Combined with Smart Predictive Analytics for Hostile Sewer Infrastructures”.
I enjoy collaborating with researchers from diverse spectrum to foster new skills and solve new challenges. Currently, my doctoral dissertation is part of a water industry led collaborative project, “ Predictive Analytics for Sewer Corrosion”, involving 4 government-owned water utilities, federal government agency for scientific research and 2 research organizations.
My research vision focuses to strive for excellence in delivering real-world industry outcomes through scientific advancements in sensing technologies, with the focus on machine learning and its applications in robotic systems. Currently, my research is centred around the development of robust sensing technologies for urban infrastructure asset monitoring applications. I employ non-destructive measurement methods and combination of machine learning techniques for developing sensing technologies.
BACKGROUND
UNIVERSITY OF TECHNOLOGY SYDNEY
AUSTRALIA
Doctor of Philosophy, Sensor Technologies
UNIVERSITY OF NEWCASTLE UPON TYNE
UNITED KINGDOM
Master of Science, Mechatronics
Anna University
INDIA
Bachelor of Engineering, Electronics and Instrumentation Engineering
RESEARCH
- Developed technology for measuring surface temperature in sewers. (Scientific Reports, Review)
- Demonstrated non-invasive way of measuring surface moisture conditions in sewer systems.
- Developed a diagnostic toolkit to detect early sewer sensor failure. (IEEE TIE Journal, Review)
- Temporal forecasting based sensor failure detection of sewer sensors. (IEEE ICIEA 2017)
- Developed technology for measuring surface temperature in sewers. (Scientific Reports, Review)
- Demonstrated non-invasive way of measuring surface moisture conditions in sewer systems.
- Developed a diagnostic toolkit to detect early sewer sensor failure. (IEEE TIE Journal, Review)
- Temporal forecasting based sensor failure detection of sewer sensors. (IEEE ICIEA 2017)
- Performed characterization of a surface temperature sensor for sewers. (IEEE ICARCV 2016)
- Implemented machine learning model to estimate the concrete moisture condition. (ISARC 2016)
- Implemented an algorithm to predict moisture based on pH & resistivity. (IEEE ICIEA 2016)
- Implemented 1D Gaussian process regression modelling technique to estimate the moisture content of the material based on electrical resistivity measurements.
- Performed scoping study for identifying feasible sensing technologies for monitoring surface temperature and surface moisture conditions on concrete sewer walls.
PUBLICATIONS
Journals
Conference Proceedings
ACCOLADES
Student Water Prize
“Australian Water Association, New South Wales Water Awards 2018.”, More InfoRunner-up
Title: Smelly? Not Any More!, UTS FEIT 3MT Finals, 2017.People’s Choice Award
Poster Presentation, “Robust Sensing Suite for Long-term Monitoring in Sewers”,UTS FEIT Research Showcase 2017
More Info
UTS President’s Scholarship
University of Technology Sydney, Australia, 2014-2018More Info
Best Project Award
Capstone Project, Project Exhibition 2011, Anna University, IndiaUTS International Research Scholarship
University of Technology Sydney, Australia, 2014-2018More Info
School Postgraduate Programme Scholarship
Newcastle University, UK, 2012-2013People’s Choice Award
“Innovations in Sensor Development for Measurement of Surface Properties in Aggressive Environment”,Oral Presentation, FEIT Research Showcase 2016
More Info
WORK
CASUAL ACADAMIC TUTOR
Autumn, Spring: 2015, 2016, 2017
Faculty of Engineering and Information Technology
PROJECT ENGINEER
Client: Bank of New York Mellon